We seek a highly qualified and motivated expert in

Forestry & Remote Sensing



We are one of Germany’s leading value-adding companies in earth observation, located near Munich. Our services range from satellite image analyses using highly automated workflows to spatiotemporal data analyses using geographic information systems (GIS). RSS is involved in various Copernicus and R&D projects that address highly topical issues such as climate change, deforestation of tropical rainforests, biodiversity and nature conservation.

Job description

The successful candidate will conduct multitemporal analyses on satellite imagery to assess anthropogenic impacts on forest ecosystems across the tropics. Experience with Landsat, Sentinel, or other high-resolution satellite imagery is required, along with a strong background in scripting languages such as Python, R and ArcGIS. Experience in managing large geospatial data sets and machine learning is desired.

The candidate will work in both a scientific and commercial environment, in close collaboration with an experienced team. The position also entails the management and execution of field/ forest inventories, the presentation of project results at meetings, national and international conferences, and composition of peer-reviewed publications.

Qualifications

We are looking for a candidate with an MSc degree or equivalent in forestry, geoinformatics or environmental sciences. A sound background in forestry, remote sensing, image processing and classification using eCognition, as well as a solid understanding of ecosystem processes is mandatory. Previous experience with SAR remote sensing and programming is an asset, while strong written and oral communication skills are expected.

How to apply?

Please send your application (motivation and CV) to: info@rssgmbh.de